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Optimal control of the spatial allocation of COVID-19 vaccines: Italy as a case study.

• Authors : Lemaitre, Joseph Chadi^1,2 (AUTHOR) ; Pasetto, Damiano² (AUTHOR); Zanon, Mario³ (AUTHOR)

• Source: PLoS Computational Biology. 7/8/2022, Vol. 18 Issue 7, p1-20. 20p. 1 Chart, 6 Graphs.

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Modelling the impact of vaccination on COVID-19 in African countries.

• Authors : Mathebula D; Department of Decision Sciences, University of South Africa, Pretoria, South Africa.; Amankwah A

Subjects: COVID-19*/COVID-19*/COVID-19*/prevention & control ; COVID-19*/COVID-19*/COVID-19*/epidemiology ; COVID-19*/COVID-19*/COVID-19*/mortality

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Oct 23; Vol. 20 (10), pp. e1012456. Date of Electronic Publication: 2024 Oct 23 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Prioritising older individuals for COVID-19 booster vaccination leads to optimal public health outcomes in a range of socio-economic settings.

• Authors : Bouros I; Department of Computer Science, University of Oxford, Oxford, United Kingdom.; Hill EM

Subjects: COVID-19*/COVID-19*/COVID-19*/prevention & control ; COVID-19*/COVID-19*/COVID-19*/epidemiology ; Immunization, Secondary*/Immunization, Secondary*/Immunization, Secondary*/statistics & numerical data

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Aug 08; Vol. 20 (8), pp. e1012309. Date of Electronic Publication: 2024 Aug 08 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Impact of waning immunity against SARS-CoV-2 severity exacerbated by vaccine hesitancy.

• Authors : Saad-Roy CM; Miller Institute for Basic Research in Science, University of California, Berkeley, California, United States of America.; Department of Integrative Biology, University of California, Berkeley, California, United States of America.

Subjects: COVID-19*/COVID-19*/COVID-19*/immunology ; COVID-19*/COVID-19*/COVID-19*/prevention & control ; COVID-19*/COVID-19*/COVID-19*/epidemiology

• Source: PLoS computational biology [PLoS Comput Biol] 2024 Aug 05; Vol. 20 (8), pp. e1012211. Date of Electronic Publication: 2024 Aug 05 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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Modeling geographic vaccination strategies for COVID-19 in Norway.

• Authors : Chan, Louis Yat Hin¹ (AUTHOR) ; Rø, Gunnar¹ (AUTHOR); Midtbø, Jørgen Eriksson¹ (AUTHOR)

• Source: PLoS Computational Biology. 1/31/2024, Vol. 20 Issue 1, p1-29. 29p.

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Evaluating targeted COVID-19 vaccination strategies with agent-based modeling.

• Authors : Hladish, Thomas J.^1,2 (AUTHOR) ; Pillai, Alexander N.¹ (AUTHOR); Pearson, Carl A. B.^3,4 (AUTHOR)

• Source: PLoS Computational Biology. 5/31/2024, Vol. 20 Issue 5, p1-16. 16p.

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Adaptive and optimized COVID-19 vaccination strategies across geographical regions and age groups.

• Authors : Molla, Jeta¹ (AUTHOR) ; Ponce de León Chávez, Alejandro² (AUTHOR); Hiraoka, Takayuki³ (AUTHOR)

• Source: PLoS Computational Biology. 4/7/2022, Vol. 18 Issue 4, p1-19. 19p. 3 Charts, 3 Graphs.

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The role of childrens' vaccination for COVID-19—Pareto-optimal allocations of vaccines.

• Authors : Gavish, Nir¹ (AUTHOR) ; Katriel, Guy² (AUTHOR)

• Source: PLoS Computational Biology. 2/25/2022, Vol. 18 Issue 2, p1-30. 30p. 11 Graphs.

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Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries.

• Authors : Li Q; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.; Huang Y

Subjects: COVID-19*/COVID-19*/COVID-19*/epidemiology ; COVID-19*/COVID-19*/COVID-19*/prevention & control ; COVID-19 Vaccines*

• Source: PLoS computational biology [PLoS Comput Biol] 2022 Sep 06; Vol. 18 (9), pp. e1010463. Date of Electronic Publication: 2022 Sep 06 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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A multivalent binding model infers antibody Fc species from systems serology.

• Authors : Abraham, Armaan A.¹ (AUTHOR); Tan, Zhixin Cyrillus² (AUTHOR); Shrestha, Priyanka³ (AUTHOR)

• Source: PLoS Computational Biology. 12/23/2024, Vol. 20 Issue 12, p1-27. 27p.

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